Today ChemSpider (www.chemspider.com) is one of the community’s primary online resources for chemists. Now hosting over 28 million unique chemical compounds linked to over 400 data sources, ChemSpider offers its users a structure centric platform facilitating access to publications and patents, experimental and predicted property data, spectral data and many other forms of data and information that can benefit a chemist. ChemSpider is a crowdsourcing platform allowing the community to contribute data directly to the database by allowing the deposition and sharing of structure data, properties, spectra and reaction syntheses. The crowdsourcing also allows for the annotation and curation of existing data thereby allowing the community to assist in the much-needed curation and validation of chemistry data on the internet. This work is imperative in order to provide the chemistry underpinnings to semantic web projects such as Open PHACTS (www.openphacts.org) of which Merck is sure to benefit when it is released to the community. This presentation will provide an overview of the ChemSpider platform and will also examine the challenges of dealing with heterogeneous data quality when attempting to provide a rich resource of data for the community. If you use the internet to research chemistry based data this presentation will be an essential guide to how to source high quality data.
Presentation pathway extensions using knowledge integration and network approaches presented at the Systems Biology Institute in Luxembourg on November 28 2012.
Using ontologies to do integrative systems biologyChris Evelo
To really get ahead with complex health problems like cancer and diabetes we need to become better at combining different types of studies, including large scale genomics and genetics studies and we need to learn to better combine such studies with biological knowledge we already. Typically that leads to questions like “I did this study with high-fat low fat diet comparison in mice and looked at the transcriptomics results in liver, fat and muscle. Did somebody else maybe do a study like that and publish the data, maybe for proteomics? Could I find that in one of these open data repositories?”. Or, “I did that, can I find which biological pathways are affected most and whether any of the proteins in that pathway is a known target for an existing drug?”. Or even “I did that study, could I find another study that yielded the same kind of biological results even if it was from a different research field with a completely different result?”.
To answer this kind of questions we need to describe studies and study results, structure knowledge allow mapping of “equal” things with different identifier schemes and essentially do a lot of mapping to and between ontologies. More and more of this is getting real and I will try to describe some of that.
Homepage for this webinar is here: http://www.bioontology.org/ontologies-in-integrative-systems-biology
It is part of this series: http://www.bioontology.org/webinar-series
RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to chemists. We will discuss some of the challenges associated with validating data quality and examine how ChemSpider is a part of the new “semantic web for chemistry”. ChemSpider has also spawned a number of additional projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles, Learn Chemistry Wiki for students learning chemistry and SpectraSchool for learning spectroscopy.
Keynote presented at the Phenotype Foundation first annual meeting.
Describes data sharing, data annotation and the needs for further tool and ontology and ontology mapping development.
Amsterdam, January 18, 2016
WikiPathways: how open source and open data can make omics technology more us...Chris Evelo
Presentation about collaborative development of open source pathway analysis code and pathways and about usage in analytical software distributed with analytical machines like mass spectrophotometers.
Presentation pathway extensions using knowledge integration and network approaches presented at the Systems Biology Institute in Luxembourg on November 28 2012.
Using ontologies to do integrative systems biologyChris Evelo
To really get ahead with complex health problems like cancer and diabetes we need to become better at combining different types of studies, including large scale genomics and genetics studies and we need to learn to better combine such studies with biological knowledge we already. Typically that leads to questions like “I did this study with high-fat low fat diet comparison in mice and looked at the transcriptomics results in liver, fat and muscle. Did somebody else maybe do a study like that and publish the data, maybe for proteomics? Could I find that in one of these open data repositories?”. Or, “I did that, can I find which biological pathways are affected most and whether any of the proteins in that pathway is a known target for an existing drug?”. Or even “I did that study, could I find another study that yielded the same kind of biological results even if it was from a different research field with a completely different result?”.
To answer this kind of questions we need to describe studies and study results, structure knowledge allow mapping of “equal” things with different identifier schemes and essentially do a lot of mapping to and between ontologies. More and more of this is getting real and I will try to describe some of that.
Homepage for this webinar is here: http://www.bioontology.org/ontologies-in-integrative-systems-biology
It is part of this series: http://www.bioontology.org/webinar-series
RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to chemists. We will discuss some of the challenges associated with validating data quality and examine how ChemSpider is a part of the new “semantic web for chemistry”. ChemSpider has also spawned a number of additional projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles, Learn Chemistry Wiki for students learning chemistry and SpectraSchool for learning spectroscopy.
Keynote presented at the Phenotype Foundation first annual meeting.
Describes data sharing, data annotation and the needs for further tool and ontology and ontology mapping development.
Amsterdam, January 18, 2016
WikiPathways: how open source and open data can make omics technology more us...Chris Evelo
Presentation about collaborative development of open source pathway analysis code and pathways and about usage in analytical software distributed with analytical machines like mass spectrophotometers.
Presented by Richard Kidd at "The Future Information Needs of Pharmaceutical & Medicinal Chemistry", Monday 28 November 2011 at The Linnean Society, Burlington Square, London run by the RSC CICAG group.
Presentation on the Chemical Analysis Metadata Platform (ChAMP) as a new project to characterize and organize metadata about chemical analysis methods. The project will develop an ontology, controlled vocabularies, and design rules
Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data.
A keynote given on experiences in curating workflows and web services.
3rd International Digital Curation Conference: "Curating our Digital Scientific Heritage: a Global Collaborative Challenge"
11-13 December 2007
Renaissance Hotel
Washington DC, USA
Towards semantic systems chemical biology Bin Chen
introduce a semantic framework for studying systems chemical biology / systems pharmacology, in which three major projects (Chem2Bio2RDF, Chem2Bio2OWL, SLAP (semantic link association prediction) are covered.
http://inarocket.com
Learn BEM fundamentals as fast as possible. What is BEM (Block, element, modifier), BEM syntax, how it works with a real example, etc.
Presented by Richard Kidd at "The Future Information Needs of Pharmaceutical & Medicinal Chemistry", Monday 28 November 2011 at The Linnean Society, Burlington Square, London run by the RSC CICAG group.
Presentation on the Chemical Analysis Metadata Platform (ChAMP) as a new project to characterize and organize metadata about chemical analysis methods. The project will develop an ontology, controlled vocabularies, and design rules
Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data.
A keynote given on experiences in curating workflows and web services.
3rd International Digital Curation Conference: "Curating our Digital Scientific Heritage: a Global Collaborative Challenge"
11-13 December 2007
Renaissance Hotel
Washington DC, USA
Towards semantic systems chemical biology Bin Chen
introduce a semantic framework for studying systems chemical biology / systems pharmacology, in which three major projects (Chem2Bio2RDF, Chem2Bio2OWL, SLAP (semantic link association prediction) are covered.
http://inarocket.com
Learn BEM fundamentals as fast as possible. What is BEM (Block, element, modifier), BEM syntax, how it works with a real example, etc.
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
By David F. Larcker, Stephen A. Miles, and Brian Tayan
Stanford Closer Look Series
Overview:
Shareholders pay considerable attention to the choice of executive selected as the new CEO whenever a change in leadership takes place. However, without an inside look at the leading candidates to assume the CEO role, it is difficult for shareholders to tell whether the board has made the correct choice. In this Closer Look, we examine CEO succession events among the largest 100 companies over a ten-year period to determine what happens to the executives who were not selected (i.e., the “succession losers”) and how they perform relative to those who were selected (the “succession winners”).
We ask:
• Are the executives selected for the CEO role really better than those passed over?
• What are the implications for understanding the labor market for executive talent?
• Are differences in performance due to operating conditions or quality of available talent?
• Are boards better at identifying CEO talent than other research generally suggests?
Content personalisation is becoming more prevalent. A site, it's content and/or it's products, change dynamically according to the specific needs of the user. SEO needs to ensure we do not fall behind of this trend.
10 Insightful Quotes On Designing A Better Customer ExperienceYuan Wang
In an ever-changing landscape of one digital disruption after another, companies and organisations are looking for new ways to understand their target markets and engage them better. Increasingly they invest in user experience (UX) and customer experience design (CX) capabilities by working with a specialist UX agency or developing their own UX lab. Some UX practitioners are touting leaner and faster ways of developing customer-centric products and services, via methodologies such as guerilla research, rapid prototyping and Agile UX. Others seek innovation and fulfilment by spending more time in research, being more inclusive, and designing for social goods.
Experience is more than just an interface. It is a relationship, as well as a series of touch points between your brand and your customer. Here are our top 10 highlights and takeaways from the recent UX Australia conference to help you transform your customer experience design.
For full article, continue reading at https://yump.com.au/10-ways-supercharge-customer-experience-design/
How to Build a Dynamic Social Media PlanPost Planner
Stop guessing and wasting your time on networks and strategies that don’t work!
Join Rebekah Radice and Katie Lance to learn how to optimize your social networks, the best kept secrets for hot content, top time management tools, and much more!
Watch the replay here: bit.ly/socialmedia-plan
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?
Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.
In recent years, in parallel with the general broad trend of information proliferation, many tens of public chemical databases have been created and made available using internet technologies. In many cases fluent data exchange has occurred between these various databases as they source information from one another. While this has the advantages of linking together multiple data sources the results also include the proliferation of errors across the various databases. The lack of a public authority to resolve such errors significantly affects the quality of freely accessible chemical information. While ChemSpider has previously allowed a crowdsourcing approach to curation efforts have now migrated to addressing this problem using a "federated resolver" approach. This presentation will report on our work in this area.
In recent years, in parallel with the general broad trend of information proliferation, many tens of public chemical databases have been created and made available using internet technologies. In many cases fluent data exchange has occurred between these various databases as they source information from one another. While this has the advantages of linking together multiple data sources the results also include the proliferation of errors across the various databases. The lack of a public authority to resolve such errors significantly affects the quality of freely accessible chemical information. While ChemSpider has previously allowed a crowdsourcing approach to curation efforts have now migrated to addressing this problem using a "federated resolver" approach. This presentation will report on our work in this area.
ChemSpider is one of the chemistry community’s primary public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data to many tens of websites and software applications at this point. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of solutions that it helps to enable. We will also discuss some of the future directions for the project that are envisaged and how we intend to continue expanding the impact for the platform.
RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. ChemSpider has spawned a number of projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to pharmaceutical companies. We will discuss some of the challenges associated with validating data quality, examine how ChemSpider is a part of the semantic web for chemistry and investigate approaches to using ChemSpider integrated to analytical instrumentation.
This presentation is an overview of some of the projects we are involved with at RSC eScience. The presentation was given at the FDA Meeting regarding the “Development of a Freely Distributable Data System for the Registration of Substances
Mobile devices are now mainstream handheld computers providing access to computational power and storage that a decade ago was available only on desktop computers. In terms of chemistry informatics the majority of capabilities that were previously found only on desktop computers is fast migrating to mobile devices making use of the combination of powerful visualization capabilities, fast cloud-based calculations, websites optimized for the mobile platforms, and delivering “apps”. This presentation will provide an overview of how access to chemistry continues to be made increasingly mobile and specifically on how the Royal Society of Chemistry is contributing to this computing environment.
Online databases containing high throughput screening and other property data continue to proliferate in number. Many pharmaceutical chemists will have used databases such as PubChem, ChemSpider, DrugBank, BindingDB and many others. This work will report on the potential value of these databases for providing data to be used to repurpose drugs using cheminformatics-based approaches (e.g. docking, ligand-based machine learning methods). This work will also discuss the potentially related applications of the Open PHACTS project, a European Union Innovative Medicines Initiative project, that is utilizing semantic web based approaches to integrate large scale chemical and biological data in new ways. We will report on how compound and data quality should be taken into account when utilizing data from online databases and how their careful curation can provide high quality data that can be used to underpin the delivery of molecular models that can in turn identify new uses for old drugs.
RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to chemists. We will discuss some of the challenges associated with validating data quality and examine how ChemSpider is a part of the new “semantic web for chemistry”. ChemSpider has also spawned a number of additional projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles, Learn Chemistry Wiki for students learning chemistry and SpectraSchool for learning spectroscopy.
Our access to scientific information has changed in ways that were hardly imagined even by the early pioneers of the internet. The immense quantities of data and the array of tools available to search and analyze online content continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of the solutions that it helps to enable. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
The internet now offers access to a myriad of online resources that can be of value to chemists working in the Life Sciences. While finding information online is, in many cases, a simple search away, the accuracy and validity of the associated data and information should be questioned. As more databases and resources are introduced online, and commonly not integrated to other resources, a scientist must perform multiple searches and then undertake the task of meshing and merging data. ChemSpider is a freely accessible online database that has taken on the challenge of meshing together distributed resources across the internet to provide a structure-based hub. It is a crowdsourcing environment hosting over 26 million unique compounds linked out to over 400 data sources. With well defined programming interfaces for integration ChemSpider has been integrated to many commercial and open software packages and is presently serving as the chemistry foundation for the IMI Open PHACTS project.
The internet has provided access to unprecedented quantities of data. In the domain of chemistry specifically over the past decade the web has become populated with tens of millions of chemical structures and related properties of assays together with tens of thousands of spectra and syntheses. The data have, to a large extent, remained disparate and disconnected. In recent years with the wave of Web 2.0 participation any chemist can contribute to both the sharing and validation of chemistry-related data whether it be via Wikipedia, the online encyclopedia, or one of the multiple public compound databases. The presentation will offer a perspective of what is available today, our experiences of building a public compound database to link together the internet and a suggested path forward for enabling even greater integration and connectivity for chemistry data for the masses to both use and participate in developing.
This is a presentation given at the Opal Events meeting ""Drug Discovery Partnerships: Filling the Pipeline". I was speaking in a session with Jean-Claude Bradley regarding "Pre-competitive Collaboration: Sharing Data to Increase Predictability". This presentation discussed some of the work we are doing on Open PHACTS. My thanks especially to Carole Goble, Lee Harland and Sean Ekins for their comments.
The internet continues to offer increased access to chemistry data that may be of value to scientists interested in populating systems containing reference toxicology data as well as to provide data for the development of predictive models. This presentation will give an overview of some of the various sources of data available via the internet, provide an overview of some of the challenges associated with gathering high-quality data and discuss methods by which to mesh together disparate data sources.
The increasing availability of free and open access resources for scientists on the internet presents us with a revolution in data availability. The Royal Society of Chemistry hosts ChemSpider, a free access website for chemists built with the intention of building community for chemists (http://www.chemspider.com/).
ChemSpider is an aggregator of chemistry related information, at present over 20 million unique chemical entities linked out to over 300 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. It is also a public deposition platform where chemists can deposit their own data including novel structures, analytical data, synthesis procedures and host data associated with the growing activities associated with Open Notebook Science.
This presentation will examine chemistry on the internet, the dubious quality of what is available and how the ChemSpider crowdsourced curation platform is fast becoming one of the centralized hubs for resourcing information about chemical entities.
We will also review our efforts to provide free resources for synthesis procedures, spectral data and structure-based searching of the chemistry literature and how chemists can contribute directly to each of these projects.
ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of well over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.
ChemSpider is a structure centric database hosted by the Royal Society of Chemistry and integrating over 25 million chemical compounds to over 400 internet-based resources including many public domain databases, Wikipedia, chemical vendors, patents, publications and other web-based services. The intention is for ChemSpider to become one of the primary online hubs for chemists to source chemistry related data. During the development of the ChemSpider database we have utilized numerous approaches to standardizing, curating and validating the data supplied to us for hosting and integration. This presentation will provide an overview of our initial development of the ChemSpider database and provide an overview of our present processes and procedures for handling incoming data depositions. We will also discuss how crowdsourcing can help to expand, curate and validate the data on the ChemSpider database.
This was a presentation I gave to an audience at Nature Publishing Group in New York on May 7th 2009. It's a long presentation and over an hour in length. Not much new here relative to other presentations...just a knitting together of many of the others on here.
There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with an increasing number of Open Source software programs we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 190 separate data sources, ChemSpider has taken on the task of both robotically and manually integrating and curating publicly available data sources. ChemSpider has also provided an environment for users to deposit, curate and annotate chemistry-related information. This has allowed the community to enhance ChemSpider by adding analytical data, associating synthetic pathways and publications and connecting to social networking resources. I will discuss how ChemSpider is fast becoming the premier curated platform and centralized hub for resourcing information about chemical entities and how the platform provides the foundation data for services allowing the analysis of analytical data and collaborative science.
Similar to Chemistry Online and The vision and challenges associated with building the chem spider resource for chemists (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
3. It is so difficult to navigate…
IP?
What’s the
structure?
Are they in
our file?
What’s
similar?
What’s the
Pharmacology target?
data?
Known
Pathways?
Competitors?
Working On
Connections Now?
to disease?
Expressed in
right cell type?
4.
5. The World of Online Chemistry
Property databases
Compound aggregators
Screening assay results
Scientific publications
Encyclopedic articles (Wikipedia)
Metabolic pathway databases
ADME/Tox data – eTOX for example
Blogs/Wikis and Open Notebook Science
Contributing Open Source code to projects
11. We Want to Answer Questions
Questions a chemist might ask…
What is the melting point of n-heptanol?
What is the chemical structure of Xanax?
Chemically, what is phenolphthalein?
What are the stereocenters of cholesterol?
Where can I find publications about xylene?
What are the different trade names for Ketoconazole?
What is the NMR spectrum of Aspirin?
What are the safety handling issues for Thymol Blue?
19. Chemistry Data online is messy
We have inherited errors
All public compound databases, including ours,
have errors
“Incorrect” structures – assertions, timelines etc
“Incorrect” names associated with structures
Properties
Links
Publications
ENORMOUS CHALLENGE
20. What could create change?
Harvard Business Review (2010)
“One change would make a substantial
difference [to drug R&D]: the creation of
agreed-upon standards for digitally
representing drug assets.”
Consider drug structures ONLY…
22. MeSH
A lipid cofactor that is required for normal blood
clotting. Several forms of vitamin K have been
identified: VITAMIN K 1 (phytomenadione)
derived from plants, VITAMIN K 2 (menaquinone)
from bacteria, and synthetic naphthoquinone
provitamins, VITAMIN K 3 (menadione). Vitamin K 3
provitamins, after being alkylated in vivo, exhibit the
antifibrinolytic activity of vitamin K. Green leafy
vegetables, liver, cheese, butter, and egg yolk are
good sources of vitamin K
57. What is the outcome of this???
IF we can get the community to help clean up the
internet of chemistry then we have:
High quality online reference resources
Freely available reference data
Ongoing iterative curation – how many
chemical structures are “reworked”
And what is the value of “curated chemical
dictionaries???”
67. Crowdsourcing Works
>130 people have deposited data and
participated in data curation
Different level curators check each other
More curators and depositors encouraged!
28 million chemicals is a long list…
68. ChemSpider for Analytical Sciences
ChemSpider is being developed with the intention of
Being the world’s richest resource of freely
accessible curated analytical data
As a platform for structure verification and
dereplication
To provide access to supporting prediction
algorithms
80. How do these data get curated?
Every spectrum can be commented on
Incorrect spectra have been annotated and
curated by users…
But curation through gaming is also possible…
97. Web Services Open Up Collaboration
Agilent, Bruker, Waters and Thermo all use our
web-based services for compound lookup
Many academic sites integrating directly –
metabonomics, name lookup, semantic markup
98. Where do data come from?
ChemSpider users deposit data
Some contributions from NIST
Chemical vendors are starting to provide data.
Synthonix are one of our major contributors
(www.synthonix.com)
99. Commercial Database Access
Recently deposited to ChemSpider
EPA/NIST IR Database >5000 spectra
Presently under development
NIST MS database >200,000 MS spectra
100. Where next with Analytical Support?
PharmaSea project for the identification of natural
products – dereplication approaches
Use mass spectrometry searches of natural
product slices to identify
Pre-fragment compounds and develop
searches
Dereplication using NMR data
NMR features
Predicted spectra and “Verification approaches”
104. NMRShiftDB Data Review
• High quality NMR shift set of ca. 100,000 shifts
• Derived prediction algorithms give very similar
performance statistics to commercial algorithms
106. Crowdsourcing Chemical Synthesis
How much data generated in a lab, that COULD
go public, is lost forever?
Public Domain reference databases of value?
Properties
Spectra
CIFs
Images
Syntheses
107. An Adventure into the World of Small
but significant contribution..
113. It is so difficult to navigate…
IP?
What’s the
structure?
Are they in
our file?
What’s
similar?
What’s the
Pharmacology target?
data?
Known
Pathways?
Competitors?
Working On
Connections Now?
to disease?
Expressed in
right cell type?
114. Open PHACTS Project
Develop a set of robust standards…
Implement the standards in a semantic integration hub
Deliver services to support drug discovery programs in
pharma and public domain
22 partners, 8 pharmaceutical companies, 3 biotechs
36 months project – goes live next month
Guiding principle is open access, open usage, open source
- Key to standards adoption -
115. The Future
Internet Data
Small organic molecules Commercial Software
Undefined materials Pre-competitive Data
Organometallics Open Science
Nanomaterials Open Data
Polymers Publishers
Minerals Educators
Particle bound Open Databases
Links to Biologicals Chemical Vendors
116. The Future of Chemistry on the Web?
Public compound databases federate & build
a linked environment of validated data!
Data validation needs are not ignored
Publishers layer on information to make
publications discoverable
Public-Private databases can be linked
Open Data proliferate
The “Semantic Web” in action
117. Can Merck Contribute to this Project?
Do you have any data that you can release into the
public domain?
Measured property data
How many “common” spectra are thrown away?
How many syntheses are published and locked
behind paywalls?
(www.chemspider.com/reactions)
Can your scientists contribute annotations and
curations if they use ChemSpider?
Is the challenge of Legal Clearance too big?